Classification using graph partitioning
暂无分享,去创建一个
[1] Rumen Andonov,et al. Maximum Cliques in Protein Structure Comparison , 2009, SEA.
[2] Mingyu Lu,et al. A novel features partition algorithm for semi-supervised categorization , 2008, 2008 7th World Congress on Intelligent Control and Automation.
[3] Ventzeslav Valev,et al. Supervised Pattern Recognition with Heterogeneous Features , 2004, CIARP.
[4] Atul Negi,et al. SubXPCA and a generalized feature partitioning approach to principal component analysis , 2008, Pattern Recognit..
[5] Thorsten Joachims,et al. Transductive Learning via Spectral Graph Partitioning , 2003, ICML.
[6] Nicola Yanev,et al. A combinatorial approach to the classification problem , 1999, Eur. J. Oper. Res..
[7] H. A. Guvenir,et al. Classification by Feature Partitioning , 1996, Machine Learning.
[8] Chris H. Q. Ding,et al. A min-max cut algorithm for graph partitioning and data clustering , 2001, Proceedings 2001 IEEE International Conference on Data Mining.
[9] Michael I. Jordan,et al. On Spectral Clustering: Analysis and an algorithm , 2001, NIPS.
[10] Kien A. Hua,et al. SubSpace Projection: A unified framework for a class of partition-based dimension reduction techniques , 2009, Inf. Sci..
[11] Patric R. J. Östergård,et al. A fast algorithm for the maximum clique problem , 2002, Discret. Appl. Math..
[12] Ventzeslav Valev,et al. Supervised pattern recognition by parallel feature partitioning , 2004, Pattern Recognit..